Bio

With a core foundation knowledge in earth science and specialized in Geospatial Analysis, he is able to integrate available technologies of UAVs, satellite imagery, programming languages and GI systems into any field that requires location- based analytics. He enjoys working in a team and can also work independently with minimal supervision. He’s also a keen learner and is always in pursuit of knowledge and skills with attention to detail. Knowledge of Python and R programming complements spatial data analysis skills in geospatial data wrangling. In addition to that, he has developed his skills in applying machine learning techniques that involves supervised classifications, webgis development, statistical analysis, airborne LiDAR metrics and is continuously keeping abreast on computer vision methods and its application in GIS. He also has demonstrated knowledge in 3D visualization using R programing and Blender3D software. Charlie is passionate about everything spatial!

Project Portfolio

Extra Curricular Activites

UCMe Star
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Bus stop image ad shell.

During his studies at the university of Canterbury in 2021, Charlie took part in the University marketing campaign known as UCMe. The campaign aims to showcase the diverse student attending the University and the study programs they are involved in. Charlie was one of few students who had been selected to be part of it which included photo shoots and video interviews.

Charlie Arua Ikosi


Bio

With a core foundation knowledge in earth science and specialized in Geospatial Analysis, he is able to integrate available technologies of UAVs, satellite imagery, programming languages and GI systems into any field that requires location- based analytics. He enjoys working in a team and can also work independently with minimal supervision. He’s also a keen learner and is always in pursuit of knowledge and skills with attention to detail. Knowledge of Python and R programming complements spatial data analysis skills in geospatial data wrangling. In addition to that, he has developed his skills in applying machine learning techniques that involves supervised classifications, webgis development, statistical analysis, airborne LiDAR metrics and is continuously keeping abreast on computer vision methods and its application in GIS. He also has demonstrated knowledge in 3D visualization using R programing and Blender3D software. Charlie is passionate about everything spatial!

Project Portfolio

Extra Curricular Activites

UCMe Star
<<<<<<< HEAD ======= >>>>>>> 83f49e322ffbb34d877a0f393710626f7b2a48d4

Bus stop image ad shell.

During his studies at the university of Canterbury in 2021, Charlie took part in the University marketing campaign known as UCMe. The campaign aims to showcase the diverse student attending the University and the study programs they are involved in. Charlie was one of few students who had been selected to be part of it which included photo shoots and video interviews.